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Analyzing the Impact of Workloads on Modeling the performance of Configurable Software Systems (supplementary material)

, , , , , and . (2023)

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Generating attributed variability models for transfer learning, , and . Proceedings of the 14th International Working Conference on Variability Modelling of Software-Intensive Systems, New York, NY, USA, ACM, (February 2020)Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems, , , , , and . 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), IEEE, (2023)Green configuration: Can artificial intelligence help reduce energy consumption of configurable software systems?, , , , and . Computer (Long Beach Calif.), 55 (3): 74--81 (March 2022)Performance evolution of configurable software systems: an empirical study, , , , and . Empirical Software Engineering, 28 (6): 152 (2023)Socio-Technical Challenges and Recommendations for Mitigation when Building ML-Enabled Systems, and . Software Engineering 2024 (SE 2024), Gesellschaft für Informatik e.V., Bonn, (2024)Practitioners' Discussions on Building LLM-based Applications for Production, , , and . (2024)Performance Sensitivity Across Configuration and Workload, , , , , and . (2024)Analysing the impact of workloads on modeling the performance of configurable software systems, , , , , and . 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), IEEE, (May 2023)Exploring hyperparameter usage and tuning in machine learning research, , , , , and . 2023 IEEE/ACM 2nd International Conference on AI Engineering -- Software Engineering for AI (CAIN), IEEE, (May 2023)Twins or false friends? a study on energy consumption and performance of configurable software, , , , and . 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), page 2098--2110. IEEE, (2023)